About OLX Lebanon OLX Lebanon is the #1 marketplace for selling and buying online in Lebanon.
Our aim is to upgrade people’s lives by facilitating deals and identifying attractive opportunities for individuals and businesses.
Our broader vision is to strengthen local economies, empower small businesses and help everyone in making smarter choices for themselves, the market and the planet.
OLX Lebanon is proudly rooted in the local market while bringing global marketplace standards to our users.
Our team is driven by innovation, agility, and a deep understanding of the Lebanese consumer landscape.
We embrace a culture of ownership, creativity, and purpose—where every team member contributes to building smarter solutions that truly make a difference in people’s everyday lives.
About the role As a Data Engineer, you will help deliver world-class big data solutions and drive impact for the OLX business.
You will be responsible for exciting projects covering the end-to-end data life cycle – from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.
You will have the opportunity to build and work with both batch and real-time data processing pipelines.
You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers.
You will liaise with other teams– such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.
Design and maintain data warehouse models for operational and application data layers.
Integrate raw data from primary and third-party systems.
Develop and optimize SQL queries and scripts.
Design and implement ETL processes.
Build real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, and API Gateway.
Design and implement data products that enable data-driven features and business solutions.
Build data dashboards and advanced visualizations using Periscope Data or other tools, with a strong focus on UX, simplicity, and usability.
Ensure data quality, accuracy, and overall system stability.
Apply and maintain coding standards in SQL, Python, and ETL design.
Collaborate with cross-functional teams on data products, including product and technology, marketing and growth, finance, core business, advertising, and others.
Contribute to building a strong team culture with an ambition to remain at the forefront of big data technologies.
Continuously research current and emerging technologies and propose improvements where appropriate.
Take responsibility for data quality and the timely delivery of KPIs and reports that provide clear and actionable business insights.
Monitor and optimize the cost and efficiency of technical solutions.
Work autonomously while supervising, reviewing, and supporting other team members’ technical work.
Proactively engage with the manager and team members to communicate progress on current sprints and the roadmap.
Perform other duties as assigned by your Line Manager.
A fast-paced, high-performing team.
Rewards & Recognitions Learning & Development opportunities #LebanonOLX #Lebanondubizzle  Hold a Bachelor’s degree in a relevant field or equivalent professional experience.
Have 3+ years of experience working with customer-centric data, preferably within an online or e-commerce environment.
Bring 2+ years of experience working with one or more programming languages, particularly Python.
Have experience collaborating with an analytics team.
Demonstrate experience in business intelligence solutions, including data warehousing and data modeling.
Have experience with modern big data ETL tools (e.
g., Matillion), which is considered a plus.
Possess experience with the AWS data ecosystem or other cloud providers.
Have hands-on experience with modern data visualization platforms such as Sisense (formerly Periscope Data), Google Data Studio, Tableau, and MS Power BI.
Demonstrate knowledge of modern real-time data pipelines (e.
g., serverless frameworks, Lambda, Kinesis), which is a plus.
Possess knowledge of relational and dimensional data models.
Be familiar with terminal operations and Linux workflows.
Have foundational knowledge of analytics and machine learning concepts.
Demonstrate knowledge of data privacy and security principles.
Exhibit strong SQL skills across relational data warehousing technologies, particularly cloud-based solutions such as Amazon Redshift, Google BigQuery, Snowflake, and Vertica.
Communicate insights and findings effectively to non-technical audiences.
Demonstrate strong written and verbal proficiency in English.
Show attention to detail, analytical thinking, and a continuous learning mindset.
Be driven, self-motivated, and able to handle pressure in a fast-paced environment.
Live the team values: Simpler.
Better. Faster.